The project aims to use TinyML for automation and provide a safety curtain while performing certain automation tasks. It uses the PSoC microcontroller for keyword detection and an external camera for object detection. Eventually, this would be moved to the
Keyword DetectionThe first step was to modify the keyword detection example for custom keywords by creating a custom dataset. The challenge was in improving the prediction scores for any keyword.
The next step was to identify objects using the external program. The objective was to train on objects that would be used in the automation application. The camera is used both as a safety curtain as well as for object detection.
- Accurate Identification of the Object for pick and place operations
- Transition to radar sensor for object detection using shapes
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